Automatic fitting techniques are required in many industrial applications, as for example, instrument calibration, data analysis, geometric modeling or reverse engineering. We present an error analysis of advanced techniques for scattered data approximation based on truncated hierarchical B-spline (THB-spline) constructions. The adaptive fitting framework is validated on data of industrial complexity related to geometric models of different aircraft engine parts. We demonstrate that the twofold adaptive nature of the method, which takes into account both the shape and the distribution of the data, is crucial to define an effective fully automatic scheme with suitable local refinement capabilities.

Adaptive fitting with THB-splines: Error analysis and industrial applications / Bracco Cesare, Giannelli Carlotta, Großmann David, Sestini Alessandra. - In: COMPUTER AIDED GEOMETRIC DESIGN. - ISSN 0167-8396. - STAMPA. - 62:(2018), pp. 239-252. [10.1016/j.cagd.2018.03.026]

Adaptive fitting with THB-splines: Error analysis and industrial applications

Bracco Cesare;Giannelli Carlotta;Sestini Alessandra
2018

Abstract

Automatic fitting techniques are required in many industrial applications, as for example, instrument calibration, data analysis, geometric modeling or reverse engineering. We present an error analysis of advanced techniques for scattered data approximation based on truncated hierarchical B-spline (THB-spline) constructions. The adaptive fitting framework is validated on data of industrial complexity related to geometric models of different aircraft engine parts. We demonstrate that the twofold adaptive nature of the method, which takes into account both the shape and the distribution of the data, is crucial to define an effective fully automatic scheme with suitable local refinement capabilities.
2018
62
239
252
Bracco Cesare, Giannelli Carlotta, Großmann David, Sestini Alessandra
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1119197
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